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Michael M
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  • The equivalence margin has to be selected before looking at the data, typically based on medical/domain-specific reasoning. Differences within the margin are irrelevantreally count as equivalent from scientific perspective.

  • The value 1 is on the scale of the values, not 1%. In you case of log values, a difference of 1 seems extremely high. Like: a median survival of 4 versus 10 years.

  • Furthermore, anthe selected equivalence test does not test if the values are equivalent (spoiler: they are not), but rather is about comparingthe two means.

  • The equivalence margin has to be selected before looking at the data, typically based on medical/domain-specific reasoning. Differences within the margin are irrelevant from scientific perspective.

  • The value 1 is on the scale of the values, not 1%.

  • Furthermore, an equivalence test does not test if the values are equivalent (spoiler: they are not), but rather is about comparing two means.

  • The equivalence margin has to be selected before looking at the data, typically based on medical/domain-specific reasoning. Differences within the margin really count as equivalent from scientific perspective.

  • The value 1 is on the scale of the values, not 1%. In you case of log values, a difference of 1 seems extremely high. Like: a median survival of 4 versus 10 years.

  • Furthermore, the selected equivalence test does not test if the values are equivalent (spoiler: they are not), but rather is about the two means.

Source Link
Michael M
  • 12.1k
  • 5
  • 35
  • 50

  • The equivalence margin has to be selected before looking at the data, typically based on medical/domain-specific reasoning. Differences within the margin are irrelevant from scientific perspective.

  • The value 1 is on the scale of the values, not 1%.

  • Furthermore, an equivalence test does not test if the values are equivalent (spoiler: they are not), but rather is about comparing two means.